Ph.D. in Energetica , 37th cycle (2021-2024)
Ph.D. obtained in 2026
Dissertation:
Advancements in Adaptive Cruise Control for Conventional and Electric Vehicles: A Path to Energy Efficiency (Abstract)
Tutors:
Daniela Anna MisulPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Borneo, Angelo (2026)
Advancements in Adaptive Cruise Control for Conventional and Electric Vehicles: A Path to Energy Efficiency. relatore: MISUL, DANIELA ANNA; , 37. XXXVII Ciclo, P.: 120
Doctoral Thesis - Borneo, Angelo; Miretti, Federico; Misul, DANIELA ANNA (2024)
Fuel Efficiency Optimization in Adaptive Cruise Control: A Comparative Study of Model Predictive Control-Based Approaches. In: APPLIED SCIENCES. ISSN 2076-3417
Contributo su Rivista - Borneo, Angelo; Miretti, Federico; Acquarone, Matteo; Misul, Daniela (2023)
Battery Electric Vehicle Control Strategy for String Stability based on Deep Reinforcement Learning in V2V Driving. In: 16th International Conference on Engines & Vehicles, Capri, Italy, September 10th - 14th, 2023, pp. 1-7. ISSN 0148-7191
Contributo in Atti di Convegno (Proceeding) - Borneo, Angelo; Zerbato, Luca; Miretti, Federico; Tota, Antonio; Galvagno, Enrico; ... (2023)
Platooning Cooperative Adaptive Cruise Control for Dynamic Performance and Energy Saving: A Comparative Study of Linear Quadratic and Reinforcement Learning-Based Controllers. In: APPLIED SCIENCES, vol. 13. ISSN 2076-3417
Contributo su Rivista - Acquarone, Matteo; Borneo, Angelo; Misul, Daniela Anna (2022)
Acceleration control strategy for Battery Electric Vehicle based on Deep Reinforcement Learning in V2V driving. In: 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022, Anaheim, CA, USA, 15-17 June 2022, pp. 202-207
Contributo in Atti di Convegno (Proceeding)